Gaël Letarte

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Bayesian Learning

Top Venues

BlackboxNLP@EMNLP

Publications

Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. Canadian AI (2023)
Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette, Pascal Germain
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations. CoRR (2021)
Gaël Letarte, Emilie Morvant, Pascal Germain
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. AISTATS (2019)
Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. CoRR (2019)
Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. NeurIPS (2019)
Gaël Letarte, Emilie Morvant, Pascal Germain
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. CoRR (2018)
Gaël Letarte, Frédérik Paradis, Philippe Giguère, François Laviolette
Importance of Self-Attention for Sentiment Analysis. BlackboxNLP@EMNLP (2018)